Publication at Faculty of Mathematics and Physics |
2015
Abstract
The paper aims at mining a richly annotated treebank for features relevant in automatic annotation/detection of attribution – ascription of texts contents to agents who expressed them. Resolving attribution is an important component for representing and modeling discourse structure, but it is also an essential task in opinion mining and sentiment analysis (e.g. identification of sources).